In emergency medical procedures, positive and trusting interaction between followers and leaders are imperative. That relationship is even more important when a virtual agent assumes the leader role and a human assumes the follower role. In order to manage the human-computer interaction, situational leadership is employed to match the human to an appropriate leadership style embodied by the agent. This paper explores how different leadership styles can be conveyed by a virtual agent through an analysis of utterances made by doctors and coordinators during emergency simulations. We create a corpus which comprises utterances from simulation videos of medical emergencies. Each utterance is annotated with a leadership style. After analysing the agreement among annotators and performing k-means clustering and latent Dirichlet allocation, we compile easily-reproducible rules that dictate how speech should appear in each leadership style for use in a virtual agent system.


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    Titel :

    Designing speech with computational linguistics for a virtual medical assistant using situational leadership


    Beteiligte:

    Erscheinungsdatum :

    2022-01-01



    Medientyp :

    Sonstige


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629



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